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This book is devoted to a number of stochastic models that display scale invariance. It primarily focuses on three issues: probabilistic properties, s...Lees meer
This is the first collection of case studies in the active reserach area of environmental statistics. A publication sponsored by the National Institut...Lees meer
From the reviews: "In this Lecture Note volume the author describes his differential-geometric approach to parametrical statistical problems summarizi...Lees meer
Scientists and engineers are increasingly making use of simulation methods to solve problems which are insoluble by analytical techniques. Monte Carlo...Lees meer
With support from the University of Iowa and the Office of Naval Research. a small conference on order restricted inference was held at the University...Lees meer
Monte Carlo methods are numerical methods based on random sampling and quasi-Monte Carlo methods are their deterministic versions. This proceedings wi...Lees meer
Given a series of wind speeds and directions from the port of Fremantle the aim of this monograph is to detect general weather patterns and seasonal c...Lees meer
The market for seasonal adjustment by the X11 method includes government statisticians, econometricians and economists working in macroeconomics, fore...Lees meer
Multivariate analysis has applications to many areas, including economics, psychology, and biometrics. The book develops the method of reduced rank re...Lees meer
Deconvolution problems occur in many ?elds of nonparametric statistics, for example, density estimation based on contaminated data, nonparametric - gr...Lees meer
The theory and practice of decision making involves infinite or finite number of actions. The decision rules with a finite number of elements in the a...Lees meer
Bayesian methods for neural networks are of interest to researchers in statistics, engineering, and artificial intelligence. This is a very active res...Lees meer
Written by one of the leading statisticians in France, this revision offers new material on the theory and applications of nonparametric statistics fo...Lees meer
The theory of time series models has been well developed over the last thirt, y years. Both the frequenc.y domain and time domain approaches have been...Lees meer
Analyzing data in the form of records is of particular important to statiticians working with financial and environmental data. This book summarizes t...Lees meer
Smoothness Priors Analysis of Time Series addresses some of the problems of modeling stationary and nonstationary time series primarily from a Bayesia...Lees meer
One of the charms of mathematics is the contrast between its generality and its applicability to concrete, even everyday, problems. Branching processe...Lees meer
This book will be of interest to researchers and graduate students in experimental design, an area of interest in statistics, agriculture, life scienc...Lees meer
My interest in majorization was first spurred by Ingram aIkin's proclivity for finding Schur convex functions lurking in the problem section of every ...Lees meer
A stochastic process {X(t): 0 S t i}, i E S, are increasing (decreasing) with t on T. Stochastic monotonicity is a basic structural property for proce...Lees meer
This book will be of interest to statisticians in many areas as it is the first book to integrate the areas of robust statistics and experimental desi...Lees meer